Arid
DOI10.3390/rs13051032
The Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset
Che, Xianghong; Feng, Min; Sun, Qing; Sexton, Joseph O.; Channan, Saurabh; Liu, Jiping
通讯作者Feng, M (corresponding author), Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Natl Tibetan Plateau Data Ctr, Beijing 100101, Peoples R China. ; Feng, M (corresponding author), Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China. ; Feng, M (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China. ; Feng, M (corresponding author), TerraPulse Inc, North Potomac, MD 20878 USA.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2021
卷号13期号:5
英文摘要Although Central Asia has a strong continental climate with a constant moisture deficit and low relative humidity, it is covered by thousands of lakes that are critical to the sustainability of ecosystems and human welfare in the region. Vulnerability to climate change and anthropogenic activities have contributed to dramatic inter-annual and seasonal changes of the lakes. In this study, we explored the high spatio-temporal dynamics of the lakes of Central Asia using the terraPulse (TM) monthly Landsat-derived surface water extent dataset from 2000 to 2015 and the HydroLAKES dataset. The results identified 9493 lakes and significant linear decreasing trends were identified for both the number (rate: -85 lakes/year, R-2: 0.69) and area (rate: -1314.1 km(2)/year, R-2: 0.84) of the lakes in Central Asia between 2000 and 2015. The decrease rate in lake area accounted for 1.41% of the total lake area. About 75% of the investigated lakes (7142 lakes), mainly located in the Kazakh steppe (especially in the north) and the Badghyz and Karabil semi-desert terrestrial ecological zones, experienced a decrease in the water area. Lakes with increasing water area were mainly distributed in the Northern Tibetan Plateau-Kunlun Mountains alpine desert and Qaidam Basin semi-desert zones in the east-south corner of Central Asia. The possible driving factors of lake decreases in Central Asia were explored for the Aral Sea and Tengiz Lake on yearly and monthly time scales. The Aral Sea showed the greatest decrease in the summer months because of increased evaporation and massive irrigation, while the largest decrease for Tengiz Lake was observed in early spring and was linked to decreasing snowmelt.
英文关键词lake dynamics Landsat surface water Central Asia Aral Sea
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000628513000001
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院青藏高原研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351491
作者单位[Che, Xianghong; Liu, Jiping] Chinese Acad Surveying & Mapping, Res Ctr Govt Geog Informat Syst, Beijing 100830, Peoples R China; [Feng, Min] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Natl Tibetan Plateau Data Ctr, Beijing 100101, Peoples R China; [Feng, Min] Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; [Feng, Min] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Feng, Min; Sexton, Joseph O.; Channan, Saurabh] TerraPulse Inc, North Potomac, MD 20878 USA; [Sun, Qing] Chinese Acad Meteorol Sci, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714
Che, Xianghong,Feng, Min,Sun, Qing,et al. The Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset[J]. 中国科学院青藏高原研究所,2021,13(5).
APA Che, Xianghong,Feng, Min,Sun, Qing,Sexton, Joseph O.,Channan, Saurabh,&Liu, Jiping.(2021).The Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset.REMOTE SENSING,13(5).
MLA Che, Xianghong,et al."The Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset".REMOTE SENSING 13.5(2021).
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